| 面向顶板类型识别的人工神经元网络模型 |
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| 引用本文： | 张玉祥,王铁群,杨昌玲,王玉浚. 面向顶板类型识别的人工神经元网络模型[J]. 湖南科技大学学报(自然科学版), 1994, 0(4) |
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| 作者姓名： | 张玉祥 王铁群 杨昌玲 王玉浚 |
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| 作者单位： | 中国矿业大学 |
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| 摘 要： | 基于地下岩体赋存环境复杂性的特点，采面顶板类型识别问题是一个比较复杂的问题，它受制于岩石强度Ｒ＿ｃ、裂隙间距Ｉ、分层厚度ｈ、垮落步距Ｌ等众多的影响因素，这是一典型的复杂非线性系统问题，因而用传统数学方法所建模型误差较大。本文运用人工神经元网络建立了采面顶板类型识别的神经网络模型，进行了实例研究，并同用模糊数学方法所建模型进行了对比。图１，表１，参８。
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| 关 键 词： | 顶板类型识别；人工神经元网络；采面 |
AN ARTOICAL NEURAL NETWORK MODEL FOR COAL-FACEROOF CATEGORY RECOGNITION |
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| Zhang Yuxiang,Wang Tiequn,Yang Changling,Wang Yujun. AN ARTOICAL NEURAL NETWORK MODEL FOR COAL-FACEROOF CATEGORY RECOGNITION[J]. Journal of Hunan University of Science & Technology(Natural Science Editon), 1994, 0(4) |
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| Authors: | Zhang Yuxiang Wang Tiequn Yang Changling Wang Yujun |
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| Affiliation: | China University of Mining |
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| Abstract: | Based on the characteristic of underground engineering complexity,it is ancomplicated problem to recognize the coal-face category.It is affected by many factors suchas Rc,I,h,L etc. This is a typical non-linear system problem,so it is difficult to set upmathematic model by means of classical mathematic ways.This paper put forward theANN model for coal-face roof category recognition on the basis of this,the paper also givesome examples of its application,The results shown that ANN model hag a higherrecognition accuracy.lfig.,ltab.,8refs. |
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| Keywords: | coal-face roof category recognition artificial neural network(ANN) |
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